Learning curves for the multi-class teacher–student perceptron (2023)
Fonte: Machine Learning: Science and Technology. Unidade: IF
Assuntos: MECÂNICA ESTATÍSTICA, APRENDIZADO COMPUTACIONAL, INFERÊNCIA BAYESIANA, TEORIA DO RISCO, ALGORITMOS, INOVAÇÕES TECNOLÓGICAS
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CORNACCHIA, Elisabetta et al. Learning curves for the multi-class teacher–student perceptron. Machine Learning: Science and Technology, v. 4, n. 1, p. 36 ; open access, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/acb428. Acesso em: 05 nov. 2024.APA
Cornacchia, E., Mignacco, F., Veiga, R., Gerbelot, C., Loureiro, B., & Zdeborová, L. (2023). Learning curves for the multi-class teacher–student perceptron. Machine Learning: Science and Technology, 4( 1), 36 ; open access. doi:10.1088/2632-2153/acb428NLM
Cornacchia E, Mignacco F, Veiga R, Gerbelot C, Loureiro B, Zdeborová L. Learning curves for the multi-class teacher–student perceptron [Internet]. Machine Learning: Science and Technology. 2023 ; 4( 1): 36 ; open access.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1088/2632-2153/acb428Vancouver
Cornacchia E, Mignacco F, Veiga R, Gerbelot C, Loureiro B, Zdeborová L. Learning curves for the multi-class teacher–student perceptron [Internet]. Machine Learning: Science and Technology. 2023 ; 4( 1): 36 ; open access.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1088/2632-2153/acb428